The powdery mildew is the frequent fungi infection appearing in the intensive paprika growing, which causes rather serious economic loss despite the integrated plant defence. The leafnecrosis it brings about appears within 20 days as a resul of the tall humidity (80-90%), and 26-30 °C of temperature, mostly in foil cover cultivating-furnishing independently of forcing periods. Following this, the plants and the development of the crops ceases. Our experiment we used a cherry shaped pepper as a subject that was selected from a substance growing wild in Mexico only (Capsicum annuum var. cerasiforme L.), which showed a most substantial hindering against the infection of the paprika powdery mildew (Leveillula taurica Arn.). In the experimental circumstances no powdery mildew infection appeared on a graft nobleman\'s paprika letters during the full section of the growing time. The stock’s root system had an low AM- type mycorrhiza contact.

This paper proposes a new method for speaker feature extraction based on Wavelet Entropy and Neural Networks denoted as WENN. In the first stage, five formants and seven Shannon entropy wavelet packets are extracted from the speakers’ signals as the speaker feature vector. In the second stage, these 12 identified parameters are used as inputs to feed-forward neural networks. Probabilistic neural network is also proposed for comparison. In contrast to conventional speaker identification methods that extract features from sentences (or words), the proposed method extracts the features from vowels. Advantages of using vowels include the ability to identify speakers when only partially-recorded words are available. This may be useful for deaf-mute persons. Experimental results show that the proposed method succeeds in the speaker identification task with high classification rate. This is done with minimum amount of information using only 12 coefficient features (i.e. vector length) and only one vowel signal which is the major contribution of this work. The results are further compared to classical benchmark algorithms for speaker identification and are found to be superior.

Fatty acids with several double bonds omega -3 and omega- 6 in fish oil decrease heart disease risk. In this research, Iodine, peroxide and acidic indexes of oils obtained from some fishes species of Persian Gulf of South Iran include: Katus wonus pelamis, Cyprinodon Aphanius dispar, Hilsa Macrura ilisha, Chirocenterous Dorab, Cybium Scomberomorus guttatum, and Pseudosciaena Johninus aneus, were evaluated. Evaluation of for peer review quality of fishes oils, showed Katus wonus pelamis , Pseudosciaena Johninus aneus and Cyprinodon Aphanius dispar oils had high quality respectively. Comparison of fishes oils showed Cyprinodon Aphanius dispar oil had highest yield (24 g kg-1) and Katus wonus pelamis oil had lowest yield (3.95 g kg-1). Comparison of peroxide indexes in Fishes oils, showed Pseudosciaena Johninus aneus and Cybium Scomberomorus guttatum oils had highest and lowest of peroxide indexes respectively. Tuna fish oil contains considerable contents of free fatty Acids (FFA) and omega-- 3 and omega--6 fatty acids, furthermore, Katus wonus pelamis and Hilsa Macrura ilisha oils have high and low quality respectively. Cyprinodon Aphanius dispar and Cybium Scomberomorus guttatum oils have highest and lowest of yield respectively. Thus, it is observed that fishes such as Cyprinodon Aphanius dispar, Pseudosciaena Johninus aneus , Katus wonus pelamis and Chirocenterous Dorab, were suitable for extraction of oil in industrial scale from point of view of commercially and nutritional.\n Keywords: Fishes oils, Extraction, Indexes of acidic, Peroxide, Iodine.

In this paper another explanation of the Cosmic Microwave Background Radiation is proposed.

Kaposi’s Sarcoma is rare in children and dermatologists might see one case during a long career. It is important to keep in mind that usually it has an aggressive and lethal course regardless of HIV status of the child. Our child was HIV negative and did not receive immunosuppression, therefore we suspect that she had an autosomal and X-linked recessive primary immunodeficiency and her Kaposi ’s sarcoma was associated with human herpes 8 virus infection (1). Only 30 cases of Kaposi’s Sarcoma in HIV negative children have been reported and we considered this case extremely valuable for education.

In this paper, four time series price data of farm products, measured monthly, have been modeled using Bayesian methodology. The data have been received from the farmers of the state of Rio Grande do Sul, Brazil for the period January 1980 - December 1994. The predictive behavior of the model as well as the monitoring that identifies the periods in which sudden changes have occurred in the time series trajectory because of the stabilizing plans implemented by the Brazilian government for the four products that represent major part of the agricultural economy of the state of Rio Grande do Sul, Brazil have been presented. Also, the seasonal pattern of the time series have been analyzed after observing strong seasonal behaviors of these products.

Drought stress is an important factor limiting crop production. Selection of resistant genotypes is a method to decrease the drought effects. In this investigation, eight wheat genotypes were assessed in two environments (irrigated and rain-fed) using randomized complete block design with three replications. Drought resistance indices were calculated using yield data in both stress and non stress conditions to identify resistant and susceptible genotypes. The analysis of variance based of proline content and yield showed genotypic differences among the wheat plants in response to the drought stress. Non-significant negative correlation was observed between seed yield in stress condition and proline content in stress condition. Proline content exhibited significant negative correlations with STI, GMP, HARM and MP. Significant correlations between proline content in stress condition and MP or TOL were also observed. The Cluster analysis assigned the genotypes into three groups with High-yielding (number 8), moderate-yielding (numbers 1 and 2) and low-yielding (numbers 7, 3, 4, 5 and 6). The SDS-PAGE analysis showed that resistant genotype (Pishgam) had lower variation in the protein bands pattern but three sensitive genotypes have most variation in the protein bands pattern.